Grema, Alhaji ShehuCao, Yi2020-04-072020-04-072013-07-25Grema AS, Cao Y. (2013) Optimization of petroleum reservoir waterflooding using receding horizon approach. In: 8th IEEE Conference on Industrial Electronics and Applications (ICIEA), 19-21 June 2013, Melbourne, Australia, pp. 397-402978-1-4673-6322-8https://doi.org/10.1109/ICIEA.2013.6566402http://dspace.lib.cranfield.ac.uk/handle/1826/15382In this paper, static and dynamic optimization of a reservoir waterflooding process for enhanced oil recovery was studied. The dynamic optimization was achieved using receding horizon (RH) algorithms. Two forms of RH which are movingend and fixed-end RH were formulated and compared. MATLAB Reservoir Simulator (MRST) from SINTEF was used for reservoir simulation. The objective function to be maximized is net present value (NPV) of the venture while the control variable is water injection rate. Sequential quadratic programming (SQP) was applied for the optimization. It was found out that fixed-end RH gave the highest NPV with improvements of 0.81% and 1.49% over static and moving-end RH strategies respectivelyenAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/enhanced oil recoverywaterflooding processfixed-end receding horizonmoving-end receding horizonstatic optimizationdynamic optimizationConference paper